Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation. - Brennan Nichyporuk; Jillian Cardinell; Justin Szeto; Raghav Mehta; Sotirios A. Tsaftaris; Douglas L. Arnold; Tal Arbel (DART/FAIR@MICCAI, 2021)

HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images. - Saverio Vadacchino; Raghav Mehta; Nazanin Mohammadi Sepahvand; Brennan Nichyporuk; James J. Clark; Tal Arbel (MIDL, 2021)

Accounting for Variance in Machine Learning Benchmarks. - Xavier Bouthillier; Pierre Delaunay; Mirko Bronzi; Assya Trofimov; Brennan Nichyporuk; Justin Szeto; Nazanin Mohammadi Sepahvand; Edward Raff; Kanika Madan; Vikram Voleti; Samira Ebrahimi Kahou; Vincent Michalski; et al. (MLSys, 2021)

Accounting for Variance in Machine Learning Benchmarks. - Xavier Bouthillier; Pierre Delaunay; Mirko Bronzi; Assya Trofimov; Brennan Nichyporuk; Justin Szeto; Naz Sepah; Edward Raff; Kanika Madan; Vikram Voleti; Samira Ebrahimi Kahou; Vincent Michalski; et al. (CoRR, 2021)

Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting. - Brennan Nichyporuk; Justin Szeto; Douglas L. Arnold; Tal Arbel (CoRR, 2021)

Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers. - Amar Kumar; Anjun Hu; Brennan Nichyporuk; Jean-Pierre R. Falet; Douglas L. Arnold; Sotirios A. Tsaftaris; Tal Arbel (AIIIMA/MIABID@MICCAI, 2022)

Information Gain Sampling for Active Learning in Medical Image Classification. - Raghav Mehta; Changjian Shui; Brennan Nichyporuk; Tal Arbel (UNSURE@MICCAI, 2022)

Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI. - Joshua Durso-Finley; Jean-Pierre R. Falet; Brennan Nichyporuk; Douglas L. Arnold; Tal Arbel (MIDL, 2022)

Metrics reloaded: Pitfalls and recommendations for image analysis validation. - Lena Maier-Hein; Annika Reinke; Evangelia Christodoulou; Ben Glocker; Patrick Godau; Fabian Isensee; Jens Kleesiek; Michal Kozubek 001; Mauricio Reyes 001; Michael A. Riegler; Manuel Wiesenfarth; Michael Baumgartner 001; et al. (CoRR, 2022)

Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation. - Brennan Nichyporuk; Jillian Cardinell; Justin Szeto; Raghav Mehta; Jean-Pierre R. Falet; Douglas L. Arnold; Sotirios A. Tsaftaris; Tal Arbel (CoRR, 2022)

Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors. - Anjun Hu; Jean-Pierre R. Falet; Brennan S. Nichyporuk; Changjian Shui; Douglas L. Arnold; Sotirios A. Tsaftaris; Tal Arbel (CoRR, 2022)

Debiasing Counterfactuals in the Presence of Spurious Correlations. - Amar Kumar; Nima Fathi; Raghav Mehta; Brennan Nichyporuk; Jean-Pierre R. Falet; Sotirios A. Tsaftaris; Tal Arbel (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Exploring Compound Loss Functions for Brain Tumor Segmentation. - Anita Kriz; Raghav Mehta; Brennan Nichyporuk; Tal Arbel (BraTS/CrossMoDA@MICCAI, 2023)

Understanding metric-related pitfalls in image analysis validation. - Annika Reinke; Minu Tizabi; Michael Baumgartner 001; Matthias Eisenmann; Doreen Heckmann-Nötzel; A. Emre Kavur; Tim Rädsch; Carole H. Sudre; Laura Ación; Michela Antonelli; Tal Arbel; Spyridon Bakas; et al. (CoRR, 2023)

Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles. - Xing Shen 001; Hengguan Huang; Brennan Nichyporuk; Tal Arbel (CoRR, 2023)

DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations. - Nima Fathi; Amar Kumar; Brennan Nichyporuk; Mohammad Havaei; Tal Arbel (MIDL, 2024)

Hyperfusion: A hypernetwork approach to multimodal integration of tabular and medical imaging data for predictive modeling. - Daniel Duenias; Brennan Nichyporuk; Tal Arbel; Tammy Riklin Raviv (Medical Image Anal., 2025)

Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free. - Gian Mario Favero; Parham Saremi; Emily Kaczmarek; Brennan Nichyporuk; Tal Arbel (CoRR, 2025)